# Senior Machine Learning Engineer - Orchestration - Applied AI & LLMs (x/f/m) at Doctolib > Hybrid · France · Senior · ML / AI · open. Source: https://alderhq.app/jobs/ashby%3Adoctolib%3A1d9facd4-fdb3-4b4b-b4ce-4de9e2c6f9b0 (read 2026-11-14). ## Facts (observed) - Company: [Doctolib](https://alderhq.app/companies/doctolib) - Location text: Paris - Where it can be done from (inferred): Hybrid · France (evidence: "Location: Paris") - Posted: 2026-07-03 (133 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-13 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/doctolib/1d9facd4-fdb3-4b4b-b4ce-4de9e2c6f9b0 - Skills listed (inferred): TypeScript, Python, Java, Kotlin, Ruby/Rails, Swift/iOS, React Native, LLMs, Distributed systems ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (Paris, n 12): p25 €45k, median €65k, p75 €66k - Recognised sponsor (NL): registered as "Doctolib B.V." (checked 2026-11-09, [register](https://ind.nl/en/public-register-recognised-sponsors/public-register-regular-labour-and-highly-skilled-migrants)) ## Description (the employer's text) ### Set a new pulse for healthcare! We are looking for a Senior Machine Learning Engineer to join the Orchestration team in AI Health Assistant. Your mission will be to ensure our AI Health Companion behaves safely, reliably, and helpfully — for millions of patients and practitioners. You will work in a cross-functional team building robust evaluation pipelines for agentic AI systems, contributing directly to improving the quality and safety of AI-powered healthcare. Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients. ### What you'll do Your responsibilities include but are not limited to: Define and own the evaluation strategy for our AI agentic system — metrics, protocols, datasets, and tooling Implement and maintain automated evaluation pipelines to monitor model quality, safety, and alignment across iterations Run systematic experiments to assess reasoning, factuality, robustness, and user experience Collaborate closely with model developers and research scientists to provide insights and drive iterative improvement Contribute to research and internal knowledge sharing on LLM evaluation methodologies and best practices ### Life at Doctolib Tech Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements. Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here. Want to learn more about our tech culture and environment? Visit the Doctolib Tech site. ### Who you are Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. ### You'll be a great fit if you Hold an MSc or PhD in Computer Science, Machine Learning, Data Science, or a related field Have 7+ years of hands-on experience working with large language models (e.g., GPT, Claude, Llama, or BERT-like architectures) Have proven experience evaluating agentic or reasoning systems (e.g., autonomous agents, tool-using LLMs, dialogue systems, or task-oriented assistants) Have a strong track record in experiment design, metric definition, and evaluation automation Are able to bridge research and production, influencing both modeling and product decisions Have excellent communication skills, a collaborative mindset, and are fluent in English ### It would be fantastic if you Have experience in the clinical or medical domain and sensitivity to ethical or regulatory challenges in healthcare AI ### What we offer Free comprehensive health insurance (basic package) for you and your children 25 days of paid vacation per year, plus up to 14 days of RTT Free mental health and coaching services through our partner Moka.care Work from abroad for up to 10 days per year thanks to our flexibility days policy Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib A subsidy from the work council to refund part of the membership to a sport club or a creative class 50% reimbursement of your public transport subscription ParentCare Program: Enjoy full salary coverage (100%) during your first month of birth leave, and 75% during the second, covered by Doctolib Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support Relocation support in case of international mobility Access to the best AI tools for coding, development and dedicated training ### Our interview process Recruiter Interview Technical Deep Dive Data System Design Behavioral Interview At least one reference check We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Adoctolib%3A1d9facd4-fdb3-4b4b-b4ce-4de9e2c6f9b0 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.